--- type: "firecrawl-provider" description: "Eurostat's public dissemination API on ec.europa.eu: search the dataset catalogue, read a dataset's metadata card and dimension code lists, run filtered JSON-stat data queries on any of the ~8,000 datasets, and typed wrappers for country price level indices (EU27=100) and the semi-annual purchasing power parities of EU capital and duty-station cities (Brussels=1). Anonymous, keyless." use_when: "Eurostat's public dissemination API on ec.europa.eu: search the dataset catalogue, read a dataset's metadata card and dimension code lists, run filtered JSON-stat data queries on any of the ~8,000 datasets, and typed wrappers for country price level indices (EU27=100) and the semi-annual purchasing power parities of EU capital and duty-station cities (Brussels=1). Anonymous, keyless." categories: "Public records" capabilities: 5 credits_per_call: 5 --- # Eurostat (ec.europa.eu) on Firecrawl Alexandria Eurostat's public dissemination API on ec.europa.eu: search the dataset catalogue, read a dataset's metadata card and dimension code lists, run filtered JSON-stat data queries on any of the ~8,000 datasets, and typed wrappers for country price level indices (EU27=100) and the semi-annual purchasing power parities of EU capital and duty-station cities (Brussels=1). Anonymous, keyless. - Categories: Public records - Category index: [Public records category](https://firecrawl.dev/alexandria/agents/categories/public-records) - Provider key: `ec-europa-eu` - Access: Firecrawl credits - Cost: 5 credits per call ## More - [Human guide](https://firecrawl.dev/app/alexandria/ec-europa-eu) - [OpenAPI spec](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/openapi.json) ## Capabilities - [City price parities](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/city_price_parities): Semi-annual purchasing power parities for 33 EU/UK capital and duty-station cities relative to Brussels (= 1) from dataset prc_colc_ppptot: the only city-level price comparison Eurostat publishes. It is the staff-remuneration correction-coefficient dataset (COICOP TOTAL or TOTAL except actual rents), not a general consumer price level index. City codes are Eurostat geo codes such as BE_CAP (Brussels), DE_CAP (Berlin), DE_DEL2 (Munich), FR_CAP (Paris), IT_DEL (Varese), NL_DEL (Den Haag). - [Get dataset](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/get_dataset): Metadata card and dimension code lists for one dataset or table code: title, observation count, period range, data and structure update timestamps, DOI, ESMS metadata URL, data structure id/version, and every dimension with its codes and labels (from the Data Browser backend). - [Price level indices](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/price_level_indices): Comparative price level indices for countries (EU27_2020 = 100) from dataset prc_ppp_ind_1 (indicator PLI_EU27_2020), by analytical category (A01 actual individual consumption, GDP, A0101 food, ... from codelist PPP_CAT18) and year. Covers EU members, EFTA, UK, candidate countries, US and Japan. Eurostat publishes no city- or region-level price level index; see city_price_parities for the city-level purchasing power parities it does publish. - [Query data](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/query_data): Filtered data query on any Eurostat dataset through the statistics/1.0 JSON-stat endpoint. Filters are dimension id -> list of codes (OR within a dimension); time is sliced with time, since and until. The sparse JSON-stat cube is flattened into one observation per cell with the codes of every dimension, the value and the Eurostat status flag. Requests that are too large for a synchronous answer fail with upstream_error (413 ASYNCHRONOUS_RESPONSE): narrow the filters. - [Search datasets](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/search_datasets): Search Eurostat's catalogue table of contents (~8,000 datasets and tables) by keywords in the title or dataset code. Client-side filtering of the catalogue listing; results carry the dataset code, type, last update, period range, folder path and Data Browser URL. ## 1. Choose this provider when Eurostat's public dissemination API on ec.europa.eu: search the dataset catalogue, read a dataset's metadata card and dimension code lists, run filtered JSON-stat data queries on any of the ~8,000 datasets, and typed wrappers for country price level indices (EU27=100) and the semi-annual purchasing power parities of EU capital and duty-station cities (Brussels=1). Anonymous, keyless. ## 2. Minimal request Call `POST https://api.firecrawl.dev/v2/scrape` with `{ alexandria: { provider, capability, options } }`. For a batch, send `{ alexandria: [...] }` with up to 10 calls. ```json { "provider": "ec-europa-eu", "capability": "indicators/city_price_parities", "options": { "cities": [ "DE_CAP", "FR_CAP" ], "since": "2025-S1" } } ``` ## 3. Add provider options Use only the options needed for the task: - `cities` (string[]): geo codes of the dataset (BE_CAP, DE_CAP, FR_CAP, ...). Omit for all cities. Example: `[]` - `coicop` (string): TOTAL or TOT_X_CP041_042 (total except actual rents). Example: `TOTAL` - `since` (string): First half-year period to include (2025-S1). Pattern: ^[0-9]{4}-S[12]$. Example: `` - `until` (string): Pattern: ^[0-9]{4}-S[12]$. Example: `` ## 4. Request through your preferred interface ### JavaScript ```javascript const result = await firecrawl.scrape({ alexandria: { provider: "ec-europa-eu", capability: "indicators/city_price_parities", options: { cities: [ "DE_CAP", "FR_CAP", ], since: "2025-S1", }, }, }); ``` ### Python ```python result = firecrawl.scrape_alexandria({ "provider": "ec-europa-eu", "capability": "indicators/city_price_parities", "options": { "cities": [ "DE_CAP", "FR_CAP" ], "since": "2025-S1" } }) ``` ### cURL ```sh curl https://api.firecrawl.dev/v2/scrape \ -H "Authorization: Bearer $FIRECRAWL_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "alexandria": { "provider": "ec-europa-eu", "capability": "indicators/city_price_parities", "options": { "cities": [ "DE_CAP", "FR_CAP" ], "since": "2025-S1" } } }' ``` ### CLI ```sh firecrawl scrape 'ec-europa-eu/indicators/city_price_parities' \ --options '{"cities":["DE_CAP","FR_CAP"],"since":"2025-S1"}' ``` ### MCP Call the FCX MCP retrieve tool with this object: ```json { "provider": "ec-europa-eu", "capability": "indicators/city_price_parities", "options": { "cities": [ "DE_CAP", "FR_CAP" ], "since": "2025-S1" } } ``` Ask for only the returned fields needed by the task. ## 5. Full request shape ```json { "provider": "ec-europa-eu", "capability": "indicators/city_price_parities", "options": { "cities": [ "DE_CAP", "FR_CAP" ], "since": "2025-S1" } } ``` ## 6. Response data The response includes `success`, `provider`, `capability`, `creditsCost` and `data`. This example shows the provider payload in `data`: ```json { "coicop": "TOTAL", "coicop_label": "Total", "count": 2, "dataset": "prc_colc_ppptot", "observed_at_ms": 1790272641302, "rows": [ { "city_code": "DE_CAP", "city_label": "Berlin", "index_brussels_1": 1.027, "period": "2025-S2", "status": null }, { "city_code": "FR_CAP", "city_label": "Paris", "index_brussels_1": 1.136, "period": "2025-S2", "status": null } ], "source_url": "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/prc_colc_ppptot?coicop=TOTAL&geo=DE_CAP&geo=FR_CAP&sinceTimePeriod=2025-S1&lang=en", "title": "Purchasing Power Parities in the European Union (Duty stations) - index (Brussels = 1)", "updated": "2026-06-17T23:00:00+0200", "url": "https://ec.europa.eu/eurostat/databrowser/view/prc_colc_ppptot/default/table?lang=en" } ``` ## API reference-derived contract The following capability contract is generated from the same normalized Alexandria API reference exposed in the API spec. ### City price parities - Capability: `indicators/city_price_parities` - Description: Semi-annual purchasing power parities for 33 EU/UK capital and duty-station cities relative to Brussels (= 1) from dataset prc_colc_ppptot: the only city-level price comparison Eurostat publishes. It is the staff-remuneration correction-coefficient dataset (COICOP TOTAL or TOTAL except actual rents), not a general consumer price level index. City codes are Eurostat geo codes such as BE_CAP (Brussels), DE_CAP (Berlin), DE_DEL2 (Munich), FR_CAP (Paris), IT_DEL (Varese), NL_DEL (Den Haag). - Instructions: The 'how expensive is EU city X relative to Brussels' question at half-year granularity. Omit cities for all 33; use since/until for a period range. - Cost: 5 credits per call - Capability file: [City price parities](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/city_price_parities) Accepted options: - `cities` (string[]): geo codes of the dataset (BE_CAP, DE_CAP, FR_CAP, ...). Omit for all cities. Example: `[]` - `coicop` (string): TOTAL or TOT_X_CP041_042 (total except actual rents). Example: `TOTAL` - `since` (string): First half-year period to include (2025-S1). Pattern: ^[0-9]{4}-S[12]$. Example: `` - `until` (string): Pattern: ^[0-9]{4}-S[12]$. Example: `` Response schema example: ```json { "coicop": "TOTAL", "coicop_label": "Total", "count": 2, "dataset": "prc_colc_ppptot", "observed_at_ms": 1790272641302, "rows": [ { "city_code": "DE_CAP", "city_label": "Berlin", "index_brussels_1": 1.027, "period": "2025-S2", "status": null }, { "city_code": "FR_CAP", "city_label": "Paris", "index_brussels_1": 1.136, "period": "2025-S2", "status": null } ], "source_url": "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/prc_colc_ppptot?coicop=TOTAL&geo=DE_CAP&geo=FR_CAP&sinceTimePeriod=2025-S1&lang=en", "title": "Purchasing Power Parities in the European Union (Duty stations) - index (Brussels = 1)", "updated": "2026-06-17T23:00:00+0200", "url": "https://ec.europa.eu/eurostat/databrowser/view/prc_colc_ppptot/default/table?lang=en" } ``` ### Get dataset - Capability: `indicators/get_dataset` - Description: Metadata card and dimension code lists for one dataset or table code: title, observation count, period range, data and structure update timestamps, DOI, ESMS metadata URL, data structure id/version, and every dimension with its codes and labels (from the Data Browser backend). - Instructions: After search_datasets, to learn which dimensions and codes a dataset accepts before calling query_data. - Cost: 5 credits per call - Capability file: [Get dataset](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/get_dataset) Accepted options: - `code` (string, required): Dataset or table code such as prc_ppp_ind_1, tec00120, prc_colc_ppptot (case-insensitive). Pattern: ^[A-Za-z0-9_]{1,64}$. Example: `` - `lang` (string): lang Example: `en` - `max_codes` (number): Cap on codes listed per dimension; codes_truncated says when a dimension has more. Example: `200` Response schema example: ```json { "code": "prc_colc_ppptot", "created": "2017-05-15T16:47:53+0200", "data_structure": { "id": "PRC_COLC_PPPTOT", "version": "34.0" }, "dimensions": [ { "codes": [ { "code": "S", "label": "Half-yearly, semesterly" } ], "codes_truncated": false, "count": 1, "id": "freq", "label": "Time frequency" }, { "codes": [ { "code": "INX", "label": "Index" } ], "codes_truncated": false, "count": 1, "id": "unit", "label": "Unit of measure" }, { "codes": [ { "code": "TOTAL", "label": "Total" }, { "code": "TOT_X_CP041_042", "label": "Total except actual rents" } ], "codes_truncated": false, "count": 2, "id": "coicop", "label": "Classification of individual consumption by purpose (COICOP)" }, { "codes": [ { "code": "BE_CAP", "label": "Bruxelles/Brussel" }, { "code": "BG_CAP", "label": "Sofia" }, { "code": "CZ_CAP", "label": "Praha" }, { "code": "DK_CAP", "label": "København" }, { "code": "DE_CAP", "label": "Berlin" }, { "code": "DE_DEL1", "label": "Karlsruhe" }, { "code": "DE_DEL2", "label": "München" }, { "code": "DE_DEL3", "label": "Bonn" }, { "code": "EE_CAP", "label": "Tallinn" }, { "code": "IE_CAP", "label": "Dublin" }, { "code": "EL_CAP", "label": "Athina" }, { "code": "ES_CAP", "label": "Madrid" }, { "code": "FR_CAP", "label": "Paris" }, { "code": "HR_CAP", "label": "Zagreb" }, { "code": "IT_CAP", "label": "Roma" }, { "code": "IT_DEL", "label": "Varese" }, { "code": "CY_CAP", "label": "Lefkosia" }, { "code": "LV_CAP", "label": "Riga" }, { "code": "LT_CAP", "label": "Vilnius" }, { "code": "LU_CAP", "label": "Luxembourg" }, { "code": "HU_CAP", "label": "Budapest" }, { "code": "MT_CAP", "label": "Valletta" }, { "code": "NL_DEL", "label": "Den Haag" }, { "code": "AT_CAP", "label": "Wien" }, { "code": "PL_CAP", "label": "Warszawa" }, { "code": "PT_CAP", "label": "Lisboa" }, { "code": "RO_CAP", "label": "Bucuresti" }, { "code": "SI_CAP", "label": "Ljubljana" }, { "code": "SK_CAP", "label": "Bratislava" }, { "code": "FI_CAP", "label": "Helsinki" }, { "code": "SE_CAP", "label": "Stockholm" }, { "code": "UK_CAP", "label": "London" }, { "code": "UK_DEL", "label": "Culham" } ], "codes_truncated": false, "count": 33, "id": "geo", "label": "Geopolitical entity (reporting)" }, { "codes": [ { "code": "2010-S2", "label": "2010-S2" }, { "code": "2011-S1", "label": "2011-S1" }, { "code": "2011-S2", "label": "2011-S2" }, { "code": "2012-S1", "label": "2012-S1" }, { "code": "2012-S2", "label": "2012-S2" }, { "code": "2013-S2", "label": "2013-S2" }, { "code": "2014-S1", "label": "2014-S1" }, { "code": "2014-S2", "label": "2014-S2" }, { "code": "2015-S1", "label": "2015-S1" }, { "code": "2015-S2", "label": "2015-S2" }, { "code": "2016-S2", "label": "2016-S2" }, { "code": "2017-S2", "label": "2017-S2" }, { "code": "2018-S2", "label": "2018-S2" }, { "code": "2019-S2", "label": "2019-S2" }, { "code": "2020-S1", "label": "2020-S1" }, { "code": "2020-S2", "label": "2020-S2" }, { "code": "2021-S2", "label": "2021-S2" }, { "code": "2022-S1", "label": "2022-S1" }, { "code": "2022-S2", "label": "2022-S2" }, { "code": "2023-S1", "label": "2023-S1" }, { "code": "2023-S2", "label": "2023-S2" }, { "code": "2024-S1", "label": "2024-S1" }, { "code": "2024-S2", "label": "2024-S2" }, { "code": "2025-S2", "label": "2025-S2" }, { "code": "2026-S1", "label": "2026-S1" } ], "codes_truncated": false, "count": 25, "id": "time", "label": "Time" } ], "doi": "10.2908/PRC_COLC_PPPTOT", "lang": "en", "metadata_url": "https://ec.europa.eu/eurostat/cache/metadata/en/prc_colc_tot_esms.htm", "object_type": "DATASET", "obs_count": 1204, "observed_at_ms": 1790272628965, "period_latest": "2026-S1", "period_oldest": "2010-S2", "source_urls": { "card": "https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/dataflow/ESTAT/prc_colc_ppptot?format=JSON&lang=en", "dimensions": "https://ec.europa.eu/eurostat/databrowser-backend/api/card/1.0/LIVE/json/en/prc_colc_ppptot/dimensions?stub=false&filtered=true" }, "title": "Purchasing Power Parities in the European Union (Duty stations) - index (Brussels = 1)", "update_data": "2026-06-17T23:00:00+0200", "update_structure": "2026-06-17T23:00:00+0200", "url": "https://ec.europa.eu/eurostat/databrowser/view/prc_colc_ppptot/default/table?lang=en" } ``` ### Price level indices - Capability: `indicators/price_level_indices` - Description: Comparative price level indices for countries (EU27_2020 = 100) from dataset prc_ppp_ind_1 (indicator PLI_EU27_2020), by analytical category (A01 actual individual consumption, GDP, A0101 food, ... from codelist PPP_CAT18) and year. Covers EU members, EFTA, UK, candidate countries, US and Japan. Eurostat publishes no city- or region-level price level index; see city_price_parities for the city-level purchasing power parities it does publish. - Instructions: The 'how expensive is country X relative to the EU' question. Pass geo codes to restrict; omit year for the whole series. - Cost: 5 credits per call - Capability file: [Price level indices](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/price_level_indices) Accepted options: - `category` (string): PPP_CAT18 analytical category code (A01 actual individual consumption, GDP, A0101 food and non-alcoholic beverages, ...). Pattern: ^[A-Za-z0-9_]{1,32}$. Example: `A01` - `geo` (string[]): Eurostat geo codes (DE, FR, EU27_2020, EA20, US, JP, ...). Omit for every reporting country. Example: `[]` - `since` (string): Pattern: ^[0-9]{4}$. Example: `` - `until` (string): Pattern: ^[0-9]{4}$. Example: `` - `year` (number): One reference year. Omit (with since/until) for a time range. Example: `1995` Response schema example: ```json { "category": "A01", "category_label": "Actual individual consumption", "count": 2, "dataset": "prc_ppp_ind_1", "indicator": "PLI_EU27_2020", "indicator_label": "Price level indices (EU27_2020=100)", "observed_at_ms": 1790272637246, "rows": [ { "geo": "DE", "geo_label": "Germany", "price_level_index": 109.3, "status": null, "year": "2024" }, { "geo": "FR", "geo_label": "France", "price_level_index": 107.6, "status": null, "year": "2024" } ], "source_url": "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/prc_ppp_ind_1?indic_ppp=PLI_EU27_2020&ppp_cat18=A01&geo=DE&geo=FR&time=2024&lang=en", "title": "Purchasing power parities, price level indices, nominal and real expenditures by analytical categories - based on COICOP 2018", "updated": "2026-07-09T23:00:00+0200", "url": "https://ec.europa.eu/eurostat/databrowser/view/prc_ppp_ind_1/default/table?lang=en" } ``` ### Query data - Capability: `indicators/query_data` - Description: Filtered data query on any Eurostat dataset through the statistics/1.0 JSON-stat endpoint. Filters are dimension id -> list of codes (OR within a dimension); time is sliced with time, since and until. The sparse JSON-stat cube is flattened into one observation per cell with the codes of every dimension, the value and the Eurostat status flag. Requests that are too large for a synchronous answer fail with upstream_error (413 ASYNCHRONOUS_RESPONSE): narrow the filters. - Instructions: Any dataset code from search_datasets once get_dataset has shown its dimensions and codes. For country price level indices or city purchasing power parities the typed wrappers are simpler. - Cost: 5 credits per call - Capability file: [Query data](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/query_data) Accepted options: - `code` (string, required): Dataset or table code (prc_ppp_ind_1, tec00120, urb_cecfi). Pattern: ^[A-Za-z0-9_]{1,64}$. Example: `` - `filters` (object): Dimension id (as listed by get_dataset, e.g. geo, indic_ppp, ppp_cat18, cities) -> codes to keep. An unknown dimension id is rejected upstream (400) and reported as invalid_input; an unknown code yields not_found. Example: `{}` - `lang` (string): lang Example: `en` - `since` (string): sinceTimePeriod: first period to include. Pattern: ^[0-9]{4}(-(S[12]|Q[1-4]|[0-9]{2}))?$. Example: `` - `time` (string[]): Exact periods to keep (2024, 2025-S1, 2026-Q1, 2026-07). Example: `[]` - `until` (string): untilTimePeriod: last period to include. Pattern: ^[0-9]{4}(-(S[12]|Q[1-4]|[0-9]{2}))?$. Example: `` Response schema example: ```json { "code": "prc_ppp_ind_1", "dimensions": [ { "codes": [ { "code": "A", "label": "Annual" } ], "id": "freq", "label": "Time frequency" }, { "codes": [ { "code": "PLI_EU27_2020", "label": "Price level indices (EU27_2020=100)" } ], "id": "indic_ppp", "label": "Purchasing power parities indicator" }, { "codes": [ { "code": "A01", "label": "Actual individual consumption" } ], "id": "ppp_cat18", "label": "Analytical categories for purchasing power parities (PPPs) calculation (based on COICOP18)" }, { "codes": [ { "code": "DE", "label": "Germany" }, { "code": "FR", "label": "France" } ], "id": "geo", "label": "Geopolitical entity (reporting)" }, { "codes": [ { "code": "2024", "label": "2024" } ], "id": "time", "label": "Time" } ], "lang": "en", "observation_count": 2, "observations": [ { "key": { "freq": "A", "geo": "DE", "indic_ppp": "PLI_EU27_2020", "ppp_cat18": "A01" }, "status": null, "time": "2024", "value": 109.3 }, { "key": { "freq": "A", "geo": "FR", "indic_ppp": "PLI_EU27_2020", "ppp_cat18": "A01" }, "status": null, "time": "2024", "value": 107.6 } ], "observed_at_ms": 1790272633140, "source_url": "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/prc_ppp_ind_1?geo=DE&geo=FR&indic_ppp=PLI_EU27_2020&ppp_cat18=A01&time=2024&lang=en", "title": "Purchasing power parities, price level indices, nominal and real expenditures by analytical categories - based on COICOP 2018", "updated": "2026-07-09T23:00:00+0200" } ``` ### Search datasets - Capability: `indicators/search_datasets` - Description: Search Eurostat's catalogue table of contents (~8,000 datasets and tables) by keywords in the title or dataset code. Client-side filtering of the catalogue listing; results carry the dataset code, type, last update, period range, folder path and Data Browser URL. - Instructions: Start here to find a dataset code (for example 'price level indices' -> prc_ppp_ind_1, tec00120) before calling get_dataset or query_data. - Cost: 5 credits per call - Capability file: [Search datasets](https://firecrawl.dev/alexandria/agents/providers/ec-europa-eu/indicators/search_datasets) Accepted options: - `continuation` (string): Cursor from a previous page's meta.page.next_cursor. Example: `` - `lang` (string): Language of the titles. Example: `en` - `limit` (number): limit Example: `20` - `query` (string, required): Keywords; every whitespace-separated term must appear (case-insensitive) in the title or the code. Example: `` Response schema example: ```json { "datasets": [ { "code": "prc_ppp_ind_1", "data_end": "2025", "data_start": "1995", "last_structure_change": "2026-03-25", "last_update": "2026-07-09", "theme_path": [ "Database by themes", "Economy and finance", "Prices", "Purchasing power parities" ], "title": "Purchasing power parities, price level indices, nominal and real expenditures by analytical categories - based on COICOP 2018", "type": "dataset", "url": "https://ec.europa.eu/eurostat/databrowser/view/prc_ppp_ind_1/default/table?lang=en", "values": 154743 }, { "code": "tec00120", "data_end": "2025", "data_start": "2014", "last_structure_change": "2026-03-25", "last_update": "2026-07-09", "theme_path": [ "Database by themes", "Economy and finance", "Prices", "Purchasing power parities" ], "title": "Price level indices", "type": "table", "url": "https://ec.europa.eu/eurostat/databrowser/view/tec00120/default/table?lang=en", "values": 516 }, { "code": "prc_ppp_ind", "data_end": "2024", "data_start": "1995", "last_structure_change": "2025-03-27", "last_update": "2025-07-10", "theme_path": [ "Database by themes", "Economy and finance", "Prices", "Purchasing power parities" ], "title": "Purchasing power parities, price level indices, nominal and real expenditures by analytical categories - based on COICOP 1999", "type": "dataset", "url": "https://ec.europa.eu/eurostat/databrowser/view/prc_ppp_ind/default/table?lang=en", "values": 1401572 } ], "lang": "en", "observed_at_ms": 1790272619363, "query": "price level indices", "source_url": "https://ec.europa.eu/eurostat/api/dissemination/catalogue/toc/txt?lang=en", "total_matches": 3 } ```